Optimisation of Temperature Fields of Microsystems with Self-Organising Neural Nets
Thermal modelling and optimisation of parameter distributed systems is a rather time-consuming process. In this paper the problem of optimisation of temperature fields of VLSI circuits and systems is attacked by a selforganising neural net. The net directly solves the task generated by a heuristic a...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2003-01-01
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| Series: | Active and Passive Electronic Components |
| Online Access: | http://dx.doi.org/10.1080/1042015031000073850 |
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| _version_ | 1849398046096359424 |
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| author | P. Bratek A. Kos |
| author_facet | P. Bratek A. Kos |
| author_sort | P. Bratek |
| collection | DOAJ |
| description | Thermal modelling and optimisation of parameter distributed systems is a rather time-consuming process. In this paper the problem of optimisation of temperature fields of VLSI circuits and systems is attacked by a selforganising neural net. The net directly solves the task generated by a heuristic algorithm. No physical model of thermal phenomena is used. The proposed method is simple. Some examples and statistical results are presented.
The proposed method is addressed mostly to large, high-speed system designs. |
| format | Article |
| id | doaj-art-a2a21e35a9e24ed984f3dd4c81f989f8 |
| institution | Kabale University |
| issn | 0882-7516 1563-5031 |
| language | English |
| publishDate | 2003-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Active and Passive Electronic Components |
| spelling | doaj-art-a2a21e35a9e24ed984f3dd4c81f989f82025-08-20T03:38:44ZengWileyActive and Passive Electronic Components0882-75161563-50312003-01-0126314114910.1080/1042015031000073850Optimisation of Temperature Fields of Microsystems with Self-Organising Neural NetsP. Bratek0A. Kos1Institute of Electronics, University of Mining and Metallurgy, Mickiewicza 30, Kraków 30-059, PolandInstitute of Electronics, University of Mining and Metallurgy, Mickiewicza 30, Kraków 30-059, PolandThermal modelling and optimisation of parameter distributed systems is a rather time-consuming process. In this paper the problem of optimisation of temperature fields of VLSI circuits and systems is attacked by a selforganising neural net. The net directly solves the task generated by a heuristic algorithm. No physical model of thermal phenomena is used. The proposed method is simple. Some examples and statistical results are presented. The proposed method is addressed mostly to large, high-speed system designs.http://dx.doi.org/10.1080/1042015031000073850 |
| spellingShingle | P. Bratek A. Kos Optimisation of Temperature Fields of Microsystems with Self-Organising Neural Nets Active and Passive Electronic Components |
| title | Optimisation of Temperature Fields of Microsystems with Self-Organising Neural Nets |
| title_full | Optimisation of Temperature Fields of Microsystems with Self-Organising Neural Nets |
| title_fullStr | Optimisation of Temperature Fields of Microsystems with Self-Organising Neural Nets |
| title_full_unstemmed | Optimisation of Temperature Fields of Microsystems with Self-Organising Neural Nets |
| title_short | Optimisation of Temperature Fields of Microsystems with Self-Organising Neural Nets |
| title_sort | optimisation of temperature fields of microsystems with self organising neural nets |
| url | http://dx.doi.org/10.1080/1042015031000073850 |
| work_keys_str_mv | AT pbratek optimisationoftemperaturefieldsofmicrosystemswithselforganisingneuralnets AT akos optimisationoftemperaturefieldsofmicrosystemswithselforganisingneuralnets |